Triple

T636749
Position Surface form Disambiguated ID Type / Status
Subject Citroën E16638 entity
Predicate logo P357 FINISHED
Object double chevron
Double chevron is the distinctive V-shaped emblem formed by two stacked chevrons that serves as the iconic logo of the French automobile manufacturer Citroën.
E79946 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: double chevron | Statement: [Citroën, logo, double chevron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: double chevron
Context triple: [Citroën, logo, double chevron]
  • A. Zeiger
    Zeiger is the birth surname of famed American television and radio host Larry King.
  • B. Benchill
    Benchill is a suburban area in Wythenshawe, south Manchester, England, primarily residential and served by the Manchester Metrolink network.
  • C. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • D. Oliphant
    Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
  • E. Arrowhead
    Arrowhead is the popular nickname for the Kansas City Chiefs’ home football venue, GEHA Field at Arrowhead Stadium, renowned for its loud and passionate fan atmosphere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: double chevron
Triple: [Citroën, logo, double chevron]
Generated description
Double chevron is the distinctive V-shaped emblem formed by two stacked chevrons that serves as the iconic logo of the French automobile manufacturer Citroën.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: double chevron
Target entity description: Double chevron is the distinctive V-shaped emblem formed by two stacked chevrons that serves as the iconic logo of the French automobile manufacturer Citroën.
  • A. Zeiger
    Zeiger is the birth surname of famed American television and radio host Larry King.
  • B. Benchill
    Benchill is a suburban area in Wythenshawe, south Manchester, England, primarily residential and served by the Manchester Metrolink network.
  • C. Chevak
    Chevak is a distinct dialect of the Central Alaskan Yup’ik language spoken primarily in the village of Chevak in western Alaska.
  • D. Oliphant
    Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
  • E. Arrowhead
    Arrowhead is the popular nickname for the Kansas City Chiefs’ home football venue, GEHA Field at Arrowhead Stadium, renowned for its loud and passionate fan atmosphere.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
NEDg Description generation batch_69a574b91b2c8190a09d837f2462c1b3 completed March 2, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_69a5751b2e3081908c4cc5d54fa78e9d completed March 2, 2026, 11:31 a.m.
Created at: March 1, 2026, 7:35 p.m.